SOA is an approach utilizing reusable components or services in order to build applications by plugging in the appropriate components. It utilizes COTS databases as part of the SOA approach and architecture. A Services Registry and Repository is used to support the automation requirements for software distribution and management. The data contained is used for Web Service, Framework Component, and Legacy Utility, including technical information, such as interfaces for web services, as well as business information including application names, descriptions, owning organizations, and contact information.

Services Registry and Repository to support the automation requirements for software distribution and management.

Mortality experience data from 2009 through 2013 on public pension plans in the United States

Enterprise design pattern documents that provide references to the use of enterprise capabilities that will enable the VA to access and exchange data securely through the use of Enterprise Shared Services (ESS) and open standards.

Dataset is a link to the publically available CMAQ v5.1 model code. The following update was also implemented: https://github.com/USEPA/CMAQ/blob/5.2/CCTM/docs/Release_Notes/AH3OPJ_IEPOX_update.md.

This dataset is associated with the following publication: Carlton, A., H. Pye, K. Baker, and C. Hennigan. Additional Benefits of Federal Air-Quality Rules: Model Estimates of Controllable Biogenic Secondary Organic Aerosol. ENVIRONMENTAL SCIENCE & TECHNOLOGY. American Chemical Society, Washington, DC, USA, 52(16): 9254–9265, (2018).

Files contain values from Figures 1, 2, and 3 of the article by Pye et al., "Leveraging scientific community knowledge for air quality model chemistry parameterizations," scheduled for publication in EM in January 2024. Figures 2 and 3 are available in csv and excel spreadsheet format. Figure 1 is only available in spreadsheet format. Figure 1 shows gas and aerosol-phase chemistry representations in CMAQ since 2010. Figure 2 shows ozone and SOA formation potential (in g/g) for CRACMM species. Figure 3 shows the size (number of species and reactions) for various chemical mechanisms.

This dataset is associated with the following publication: Pye, H., R. Schwantes, K. Barsanti, V.F. McNeill, and G. Wolfe. Leveraging scientific community knowledge for air quality model chemistry parameterizations. EM Magazine. Air and Waste Management Association, Pittsburgh, PA, USA, 24-31, (2024).

Dataset contains supplementary information (model inputs and/or outputs and literature values) for Section 4.1 (idealized acidity calculations), Section 4.2 (box model calculations of pH for ambient conditions), Section 7.1 (observed aerosol pH values), Section 7.2 (observed cloud pH values), and Section 8.1 (CMAQ hemispheric predictions).

This dataset is associated with the following publication: Pye, H., A. Nenes, B. Alexander, A. Ault, M. Barth, S. Clegg, J. Collett, K. Fahey, C. Hennigan, H. Herrmann, M. Kanakidou, J. Kelly, I. Ku, V.F. McNeill, N. Riemer, T. Schaefer, G. Shi, A. Tilgner, J. Walker, T. Wang, R. Weber, J. Xing, R. Zaveri, and A. Zuend. The Acidity of Atmospheric Particles and Clouds. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 20(8): 4809–4888, (2020).

A series of chamber experiments was conducted to investigate the change in the relative contribution of multigeneration reaction products to total secondary organic aerosol (SOA) mass across a range of parent n-alkanes (C10-C17) that has a high potential for SOA formation in urban atmospheres. Contributions of select first, second, and higher generation products to SOA was investigated using online speciation by an aerosol mass spectrometer and varied substantially across the range of investigated alkanes. As expected, the presence of first-generation species in SOA is limited primarily by volatility with small contributions at the low end of the investigated n-alkane range and increasing gradually as the number of carbons is increased. The formation of lower volatility second and higher generation nitrate-containing species, in contrast, appears to be mechanistically limited leading to lower average contributions of organic nitrates to OA as the size of the parent n-alkane is increased. The impact of increased water vapor concentrations similarly varied with the size of the parent alkane with diminished effect as both alkane carbon number and generation number increased. The largest impacts of water, however, were between dry (~3%) and slightly humid (~14%) with little change observed at higher relative humidities. This dataset is associated with the following publication: Docherty, K.S., W. Preston, R. Yaga, M. Jaoui, T. Riedel, J. Offenberg, T. Kleindienst, and M. Lewandowski. Relative contributions of select multigeneration products to chamber SOA formed from photooxidation of a range (C10-C17) of n-alkanes under high NOx conditions. ATMOSPHERIC ENVIRONMENT. Elsevier Science Ltd, New York, NY, USA, 244(1): 117976, (2021).

ABSTRACT The growing pressure to increase the quality of health services, as well as reducing costs, has caused healthcare organizations to increase the use of Information and Communication Technologies (ICT) through the development and adoption of Healthcare Information Systems (HIS). However, the need for exchange of information between HIS and between organizations has also increased, resulting in the problem of interoperability. This problem is considered complex, but the use of Service Oriented Architecture (SOA) appears as a good way to address this issue. This paper presents a systematic review, performed in order to find out how and in which contexts SOA is being used to ensure the interoperability of HIS.

Mortality experience data from 2010 through 2014 on private pension plans in the United States

Through the Standing Offer Agreement for Provision of Wi-Fi Services (SOA-WiFi), Bureaux/Departments (B/Ds) can acquire Wi-Fi Service for Internet access at their venues effectively and efficiently to address the rapid changing demands and facilitate a fast deployment of Wi-Fi Service at various venues designated by the Government. This is the list of awarded service contracts for SOA-WiFi.

The effect of acidity and relative humidity on bulk isoprene aerosol parameters has been investigated in several studies, however few measurements have been conducted on individual aerosol compounds. The focus of this study has been the examination of the effect of acidity and relative humidity on secondary organic aerosol (SOA) chemical composition from isoprene photooxidation in the presence of nitrogen oxide (NOx). A detailed characterization of SOA at the molecular level was also investigated. Experiments were conducted in a 14.5 m3 smog chamber operated in flow mode. Based on a detailed analysis of mass spectra obtained from gas chromatography-mass spectrometry of silylated derivatives in electron impact and chemical ionization modes, and ultra-high performance liquid chromatography/electrospray ionization/time-of-flight high resolution mass spectrometry, and collision-induced dissociation in the negative ionization modes, we characterized not only typical isoprene products, but also new oxygenated compounds. A series of nitroxy-organosulfates (OS) were tentatively identified on the basis of high resolution mass spectra. Under acidic conditions, the major identified compounds include 2-methyltetrols (2MT), 2-methylglyceric acid (2MGA) and 2MT-OS. Other products identified include epoxydiols, mono- and dicarboxylic acids, other organic sulfates, and nitroxy- and nitrosoxy-OS. The contribution of SOA products from isoprene oxidation to PM2.5 was investigated by analysing ambient aerosol collected at rural sites in Poland. Methyltetrols, 2MGA and several organosulfates and nitroxy-OS were detected in both the field and laboratory samples. The influence of relative humidity on SOA formation was modest in non-acidic seed experiments, and stronger under acidic seed aerosol. Total secondary organic carbon decreased with increasing relative humidity under both acidic and non-acidic conditions. While the yields of some of the specific organic compounds decreased with increasing relative humidity others varied in an indeterminate manner from changes in the relative humidity.

This dataset is associated with the following publication: Nestorowicz, K., M. Jaoui, K. Rudzinski, M. Lewandowski, T. Kleindienst, G. Spolnik, W. Danikiewicz, and R. Szmigielski. Chemical Composition of Isoprene SOA Under Acidic and Non-Acidic Conditions: Effect of Relative Humidity. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18(4): 18101-18121, (2018).

Look up table of Lower Layer Super Output Area (LSOA) to Grid reference of centroid Source: Office for National Statistics (ONS) Publisher: Neighbourhood Statistics Geographies: Lower Layer Super Output Area (LSOA) Geographic coverage: England and Wales Type of data: Administrative data

The National Statistics Area Classification provides a simple indicator of the characteristics of the area based on a range of census data. It provides a simple indicator of the characteristics of the area and of the similarity between areas, for comparative or targeting purposes, and as a variable which can be used for analysis with other data. Data is available for Super Output Areas Source: Office for National Statistics (ONS): using Census 2001 data Publisher: Neighbourhood Statistics Geographies: Lower Layer Super Output Area (LSOA) Geographic coverage: England and Wales Time coverage: 2001 Notes: The National Statistics 2001 Area Classification of Output Areas is a powerful and effective way of summarising the complexity of census data. It provides a simple indicator of the characteristics of the area and of the similarity between areas, for comparative or targeting purposes, and as a variable for analysis with other data.

The relationship between the oxidation state and relative volatility of secondary organic aerosol (SOA) from the oxidation of a wide range of hydrocarbons is investigated using a fast-stepping, scanning thermodenuder interfaced with a high resolution time-of-flight aerosol mass spectrometer (AMS). SOA oxidation state varied widely across the investigated range of parent hydrocarbons but was relatively stable for replicate experiments using a single hydrocarbon precursor. On average, unit mass resolution indicators of SOA oxidation (e.g., AMS f43 and f44) are consistent with previously reported values. Linear regression of H:C vs O:C obtained from parameterization of f43 and f44 and elemental analysis of high resolution spectra in Van Krevelen space both yield a slope of ~0.5 across different SOA types. A similar slope was obtained for a distinct subset of toluene/NOx reactions in which the integrated oxidant exposure was varied to alter oxidation. The relative volatility of different SOA types displays similar variability and is strongly correlated with SOA oxidation state (OSC). On average, relatively low oxidation and volatility were observed for aliphatic alkene (including terpenes) and n-alkane SOA while the opposite is true for mono- and polycyclic aromatic hydrocarbon SOA. Effective enthalpy for total chamber aerosol obtained from volatility differential mobility analysis is also highly correlated with OSC indicating a primary role for oxidation levels in determining the volatility of chamber SOA. Effective enthalpies for chamber SOA are substantially lower than those of neat organic standards but are on the order of those obtained for partially oligomerized glyoxal and methyl glyoxal. This dataset is associated with the following publication: Docherty, K., E. Corse, M. Jaoui, J. Offenberg, T. Kleindienst, J. Krug, T. Riedel, and M. Lewandowski. Trends in the oxidation and relative volatility of chamber-generated secondary organic aerosol. AEROSOL SCIENCE AND TECHNOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 52(9): 992-1004, (2018).

Look up table of Middle Layer Super Output Area (MSOA) to Grid reference of centroid. Also includes Local Authority names for MSOAs Source: Office for National Statistics (ONS) Publisher: Neighbourhood Statistics Geographies: Middle Layer Super Output Area (MSOA) Geographic coverage: England and Wales Type of data: Administrative data

Supporting data for CRACMMv1, including the SPECIATE database mapped to CRACMM, input to the Speciation Tool, profile files output from Speciation Tool for input to SMOKE, python code for mapping species to CRACMM, chemical mechanism, and mechanism metadata is available at https://github.com/USEPA/CRACMM. Specific analyses and scripts used in the manuscript "Linking gas, particulate, and toxic endpoints to air emissions in the Community Regional Atmospheric Chemistry Multiphase Mechanism (CRACMM) version 1.0" such as the 2017 U.S. species-level inventory and code for figures is available here.

Look up table of Lower Layer Super Output Area (LSOA) to higher level geographies including Standard Table Ward and Local Authority District (LAD) Source: Office for National Statistics (ONS) Publisher: Neighbourhood Statistics Geographies: Lower Layer Super Output Area (LSOA), Ward, Local Authority District (LAD) Geographic coverage: England and Wales Type of data: Administrative data

Look up table of Output Area to higher level geographies including Lower Layer SOA, Middle Layer SOA and Local Authority District (LAD) Source: Office for National Statistics (ONS) Publisher: Neighbourhood Statistics Geographies: Output Area (OA), Lower Layer Super Output Area (LSOA), Middle Layer Super Output Area (MSOA), Local Authority District (LAD) Geographic coverage: England Type of data: Administrative data

Atmospheric organic aerosol (OA) has important impacts on climate and human health but its sources remain poorly understood. Biogenic monoterpenes and sesquiterpenes are important precursors of secondary organic aerosol (SOA), but the amounts and pathways of SOA generation from these precursors are not well constrained by observations. We propose that the less-oxidized oxygenated organic aerosol (LO-OOA) factor resolved from positive matrix factorization (PMF) analysis on aerosol mass spectrometry (AMS) data can be used as a surrogate for fresh SOA from monoterpenes and sesquiterpenes in the southeastern US. This hypothesis is supported by multiple lines of evidence, including lab-in-the-field perturbation experiments, extensive ambient ground-level measurements, and state-of-the-art modeling. We performed lab-in-the-field experiments in which the ambient air is perturbed by the injection of selected monoterpenes and sesquiterpenes, and the subsequent SOA formation is investigated. PMF analysis on the perturbation experiments provides an objective link between LO-OOA and fresh SOA from monoterpenes and sesquiterpenes as well as insights into the sources of other OA factors. Further, we use an upgraded atmospheric model and show that modeled SOA concentrations from monoterpenes and sesquiterpenes could reproduce both the magnitude and diurnal variation of LO-OOA at multiple sites in the southeastern US, building confidence in our hypothesis. We estimate the annual average concentration of SOA from monoterpenes and sesquiterpenes in the southeastern US to be roughly 2µgm−3. Dataset (csv file) contains CMAQ model predictions for locations in the southeastern US during 2012 and 2013. The species definition file (txt) defines how quantities were obtained from the model. Data in the csv files follows the writesite utility output format (https://github.com/USEPA/CMAQ/tree/5.2.1/POST/writesite). Links to additional datasets are provided. This dataset is associated with the following publication: Xu, L., H. Pye, J. He, Y. Chen, B. Murphy, and N. Ng. Experimental and model estimates of the contributions from biogenic monoterpenes and sesquiterpenes to secondary organic aerosol in the southeastern United States. Atmospheric Chemistry and Physics. Copernicus Publications, Katlenburg-Lindau, GERMANY, 18(17): 12613-12637, (2018).